Journal article
Ebola Virus Dose Response Model for Aerosolized Exposures: Insights from Primate Data
Risk analysis, v 40(11), pp 2390-2398
01 Nov 2020
PMID: 32638435
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study develops dose-response models forEbolavirususing previously published data sets from the open literature. Two such articles were identified in which three different species of nonhuman primates were challenged by aerosolizedEbolavirusin order to study pathology and clinical disease progression. Dose groups were combined and pooled across each study in order to facilitate modeling. The endpoint of each experiment was death. The exponential and exact beta-Poisson models were fit to the data using maximum likelihood estimation. The exact beta-Poisson was deemed the recommended model because it more closely approximated the probability of response at low doses though both models provided a good fit. Although transmission is generally considered to be dominated by person-to-person contact, aerosolization is a possible route of exposure. If possible, this route of exposure could be particularly concerning for persons in occupational roles managing contaminated liquid wastes from patients being treated for Ebola infection and the wastewater community responsible for disinfection. Therefore, this study produces a necessary mathematical relationship between exposure dose and risk of death for the inhalation route of exposure that can support quantitative microbial risk assessment aimed at informing risk mitigation strategies including personal protection policies against occupational exposures.
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Details
- Title
- Ebola Virus Dose Response Model for Aerosolized Exposures: Insights from Primate Data
- Creators
- Jade Mitchell - Michigan State UniversityKara Dean - Michigan State UniversityCharles Haas - Drexel University
- Publication Details
- Risk analysis, v 40(11), pp 2390-2398
- Publisher
- Wiley
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000546763900001
- Scopus ID
- 2-s2.0-85087620564
- Other Identifier
- 991019168778004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Mathematics, Interdisciplinary Applications
- Public, Environmental & Occupational Health
- Social Sciences, Mathematical Methods